Are They Paying Attention? A Model-Based Method to Identify Individuals' Mental States

In a global economy, online meeting participants often have different backgrounds, making it difficult to know their mental and physical states. The Mental Motion State Model, trained by applying the Gaussian mixture model to electroencephalogram data, can indicate degrees of engagement and fatigue levels, providing a feedback channel for self-regulation. In the web extra at https://youtu.be/-lO3jsMUJVU, guest editor Katarzyna Wac interviews author Renate Fruchter, founding director of the Project Based Learning Laboratory at Stanford University.